--- title: 'Data Scientist – Experimentation Platform at Farfetch' canonical: 'https://feeny.ai/job/data-scientist-experimentation-platform-farfetch-porto-f1j3zs7msabe' type: 'job' last_seen: '2026-10-17' --- # Data Scientist – Experimentation Platform at Farfetch - **Company:** Farfetch - **Location:** Porto, Portugal - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.lever.co/farfetch/2ca146e1-6061-420f-92e1-8fd1db75a6b5 ## Job description Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace. ## TECHNOLOGY The Technology team builds end-to-end products and solutions that power our marketplace, delivering an incredible experience for customers globally. From understanding customer and partner needs to designing and testing innovative hypotheses, we create industry-leading experiences for luxury customers everywhere. ## PORTO Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals. ## THE ROLE We are looking for an experienced and hands-on Data Scientist to join our Data team at FARFETCH, with a focus on evolving our in-house Experimentation Platform and its custom-built Statistical Engine. Our Experimentation Platform enables teams across FARFETCH to run A/B tests, measure the impact of product changes, and make data-driven decisions at scale. At its core, our Python-based Statistical Engine processes experiment results and powers automated, self-service analytics. In this role, you will take technical ownership of the Statistical Engine, combining strong statistical expertise with software engineering skills to improve its reliability, scalability, and analytical capabilities. You will work closely with Data Engineering, Data Analytics, Product, and Engineering teams to modernise our experimentation capabilities, introduce advanced statistical methods, and explore how AI can accelerate platform development and improve experimentation workflows. ## WHO YOU ARE - Required Skills & Experience - Good Python skills and experience developing or maintaining applications. - Understanding of statistics, hypothesis testing, and A/B testing. - Experience working with SQL and analysing datasets. - Familiarity with software development practices, including version control and testing. - Willingness to learn, investigate problems, and improve existing solutions. - Good communication skills and ability to work with different teams. - Preferred Skills - Experience with A/B testing or experimentation platforms. - Familiarity with statistical methods such as causal inference or variance reduction. - Experience with cloud data platforms, ideally Google Cloud or BigQuery. - Some knowledge of machine learning or AI-assisted development tools. ## WHAT YOU'LL DO - Ensure our Statistical Engine delivers accurate, reliable, and timely experiment results. - Improve our experimentation capabilities, helping teams detect meaningful changes andmake decisions faster. - Evolve the platform to support new statistical methods, experiment designs, and businessneeds. - Make the Statistical Engine easier to maintain, scale, and extend as our experimentationneeds grow. - Work with Data Engineering to improve data availability and integration with our DataPlatform. - Explore how AI and new technologies can help us develop and improve the platform moreefficiently. - Partner with Data Analysts, Engineers, and Product Managers to turn experimentationchallenges into practical solutions. ## REWARDS & BENEFITS - Health insurance for the whole family and other well-being resources - 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service - Training opportunities and free access to LinkedIn Learning - Flexible benefits program - Flexible working environment ## EQUAL OPPORTUNITIES - Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. ## SCAM DISCLAIMER - It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process. This is a hands-on opportunity to shape the evolution of a business-critical experimentationplatform, with a strong focus on statistical innovation and engineering excellence. ## About Farfetch ## Company Overview - **One-liner**: Farfetch is the leading global marketplace for luxury fashion, connecting creators, curators, and consumers across 190+ countries. - **Entity Type**: Public (OTC: FTCHQ) – though some sources classify it as privately held after a potential acquisition; market cap as of Feb 2024 was ~$8.6M. - **Headquarters**: London, United Kingdom - **Founded**: 2007 - **Founders**: José Neves ## Core Business - **Primary industry**: Luxury retail / e-commerce marketplace - **Target customers**: B2C – individual luxury shoppers; also B2B services for boutiques and brands - **Mission**: “To be the global platform for luxury fashion, connecting creators, curators and consumers.” ## Products & Services - **[Farfetch Marketplace]**: E-commerce platform offering over 100,000 styles from 1,400+ brands, boutiques, and department stores. Type: SaaS-enabled marketplace. - **[Browns Fashion]**: Owned multi-brand luxury retailer (acquired by Farfetch). Type: Physical & online retail. - **[Farfetch Platform Solutions]**: White-label e-commerce and logistics services for luxury brands. ## Market Standing - **Valuation/Market Cap**: Market cap ~$8.6M as of Feb 2024 (public OTC) – conflicting reports; total funding raised $2.5B. - **Key Metric**: Annual revenue $2.3B (latest fiscal year). - **Notable Investors/Partners**: Condé Nast (lead Series C), Vitruvian Partners (lead Series D), TriplePoint Capital (debt financing). - **Growth Signals**: Headcount declined 6.6% YoY to 2,074 employees, but active job postings surged 210% year-over-year (59 openings as of mid-2026). Recent hire of Manny Suero as VP, Private Client Americas signals focus on high-value clients. ## Competitive Advantages - **Global reach**: Customers in 190+ countries, sellers in 50+ countries. - **Curated selection**: Access to both established luxury houses and emerging designers. - **Logistics & technology**: Express delivery, free returns, and proprietary platform solutions for brands. ## Strategic Focus - Deepening relationships with top-tier luxury clients (e.g., new VP Private Client Americas). - Expanding creative & studio production capabilities (hiring in the Netherlands). - Strengthening omnichannel presence through Browns and marketplace partnerships. ## Why Work Here - **Culture**: Hybrid-first work model (95% of jobs listed as hybrid). Offices in London, Porto, Lisbon, New York, Shanghai, São Paulo, and more. - **Employee rating**: 3.4/5 on employer review sites; work-life balance rated 3.9, career opportunities 3.0. - **Engineering & product**: Strong technical teams (13% of workforce in technical roles). Emphasis on behavioural interviewing. - **Perks**: Not publicly detailed, but fast-paced luxury tech environment. ## Sources 1. [jobs.lever.co/farfetch](https://jobs.lever.co/farfetch) 2. [aboutfarfetch.com](https://aboutfarfetch.com/careers/hiring/) 3. [linkedin.com/company/farfetch.com](https://linkedin.com/company/farfetch.com) 4. [tryremotely.com/company/farfetch](https://tryremotely.com/company/farfetch) 5. 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